{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "This notebook was prepared by [Donne Martin](https://github.com/donnemartin). Source and license info is on [GitHub](https://github.com/donnemartin/interactive-coding-challenges)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Challenge Notebook" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Problem: Assign Cookies.\n", "\n", "See the [LeetCode](https://leetcode.com/problems/assign-cookies/) problem page.\n", "\n", "Assume you are an awesome parent and want to give your children some cookies. But, you should give each child at most one cookie. Each child i has a greed factor gi, which is the minimum size of a cookie that the child will be content with; and each cookie j has a size sj. If sj >= gi, we can assign the cookie j to the child i, and the child i will be content. Your goal is to maximize the number of your content children and output the maximum number.\n", "\n", "Note:\n", "You may assume the greed factor is always positive. \n", "You cannot assign more than one cookie to one child.\n", "\n", "Example 1:\n", "Input: [1,2,3], [1,1]\n", "\n", "Output: 1\n", "\n", "Explanation: You have 3 children and 2 cookies. The greed factors of 3 children are 1, 2, 3. \n", "And even though you have 2 cookies, since their size is both 1, you could only make the child whose greed factor is 1 content.\n", "You need to output 1.\n", "Example 2:\n", "Input: [1,2], [1,2,3]\n", "\n", "Output: 2\n", "\n", "Explanation: You have 2 children and 3 cookies. The greed factors of 2 children are 1, 2. \n", "You have 3 cookies and their sizes are big enough to gratify all of the children, \n", "You need to output 2.\n", "\n", "* [Constraints](#Constraints)\n", "* [Test Cases](#Test-Cases)\n", "* [Algorithm](#Algorithm)\n", "* [Code](#Code)\n", "* [Unit Test](#Unit-Test)\n", "* [Solution Notebook](#Solution-Notebook)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Constraints\n", "\n", "* Are the inputs two list(int), one for greed factor and the other for cookie size?\n", " * Yes\n", "* Are the inputs are sorted increasing order?\n", " * No\n", "* Can we change inputs themselves, or do we need to make a copy?\n", " * You can change them\n", "* Is the output an int?\n", " * Yes\n", "* Is the greed factor always >= 1?\n", " * Yes\n", "* Can we assume the inputs are valid?\n", " * No, check for None\n", "* Can we assume this fits memory?\n", " * Yes" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Test Cases\n", "\n", "
\n", "* None input -> TypeError\n", "[1, 2, 3], [1, 1] -> 1\n", "[1, 2], [1, 2, 3] -> 2\n", "[7, 8, 9, 10], [5, 6, 7, 8] -> 2\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Algorithm\n", "\n", "Refer to the [Solution Notebook](). If you are stuck and need a hint, the solution notebook's algorithm discussion might be a good place to start." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Code" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "class Solution(object):\n", "\n", " def find_content_children(self, g, s):\n", " # TODO: Implement me\n", " pass" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Unit Test" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**The following unit test is expected to fail until you solve the challenge.**" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# %load test_assign_cookie.py\n", "import unittest\n", "\n", "\n", "class TestAssignCookie(unittest.TestCase):\n", "\n", " def test_assign_cookie(self):\n", " solution = Solution()\n", " self.assertRaises(TypeError, solution.find_content_children, None, None)\n", " self.assertEqual(solution.find_content_children([1, 2, 3], \n", " [1, 1]), 1)\n", " self.assertEqual(solution.find_content_children([1, 2], \n", " [1, 2, 3]), 2)\n", " self.assertEqual(solution.find_content_children([7, 8, 9, 10], \n", " [5, 6, 7, 8]), 2)\n", " print('Success: test_find_content_children')\n", "\n", "\n", "def main():\n", " test = TestAssignCookie()\n", " test.test_assign_cookie()\n", "\n", "\n", "if __name__ == '__main__':\n", " main()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Solution Notebook\n", "\n", "Review the [Solution Notebook]() for a discussion on algorithms and code solutions." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.2" } }, "nbformat": 4, "nbformat_minor": 1 }